Sat.Sep 11, 2021 - Fri.Sep 17, 2021

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10 Power BI mistakes to avoid

CIO Business Intelligence

As a leading business intelligence tool, Power BI offers business users power and flexibility in dealing with data. The Microsoft tool provides everything from Excel integration to enterprise reporting and an increasing number of AI features that simplify getting deeper insights. In fact, the latest Forrester Wave report on augmented BI goes as far as to say “it is hard not to consider Power BI as your top choice for an enterprise BI platform.

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Programming in R – From Variables to Visualizations

Analytics Vidhya

This article was published as a part of the Data Science Blogathon R programing language was developed for statistical computing and graphics which makes it one of the desired candidates for Data Science and Analysis. Even though it might not hold much popularity among the newcomers in the field, many veterans and seasoned data scientists favour […].

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2021 Data/AI Salary Survey

O'Reilly on Data

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. The results gave us insight into what our subscribers are paid, where they’re located, what industries they work for, what their concerns are, and what sorts of career development opportunities they’re pursuing. While it’s sadly premature to say that the survey took place at the end of the COVID-19 pandemic (though we can all hope), it took place at a time when restrictions were loose

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Rapidminer Platform Supports Entire Data Science Lifecycle

David Menninger's Analyst Perspectives

Rapidminer is a visual enterprise data science platform that includes data extraction, data mining, deep learning, artificial intelligence and machine learning (AI/ML) and predictive analytics. It can support AI/ML processes with data preparation, model validation, results visualization and model optimization. Rapidminer Studio is its visual workflow designer for the creation of predictive models.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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What Should Enterprises Do to Offset Future Technology Disruption?

DataKitchen

The post What Should Enterprises Do to Offset Future Technology Disruption? first appeared on DataKitchen.

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How to Extract Tabular Data from Doc files Using Python?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Data is present everywhere. Any action we perform generates some or the other form of data. But this data might not be present in a structured form. A beginner starting with the data field is often trained for datasets in standard formats like […]. The post How to Extract Tabular Data from Doc files Using Python?

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5 Data Points that Your 2022 Digital Marketing Strategy Must Include

Smart Data Collective

You must pay attention the data points that matter! Long gone are the days when digital marketing was based on gut feel and what looked good. The industry knows data is critical to a successful strategy. The hard thing is knowing which data points to pay attention to – separating the signal from the noise. With so much of marketing being quantifiable nowadays, it can be easy to get lost analyzing the wrong data and wasting time which could be better spent elsewhere.

Marketing 130
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Living on the Edge: How to Accelerate Your Business with Real-time Analytics

Cloudera

Leveraging the Internet of Things (IoT) allows you to improve processes and take your business in new directions. But it requires you to live on the edge. That’s where you find the ability to empower IoT devices to respond to events in real time by capturing and analyzing the relevant data. Edge computing relies on squeezing the power and functionality of a data center into a micro site as close to data sources as possible to enable real-time tasks.

IoT 122
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The power of Python Map, Reduce and Filter – Functional Programming for Data Science

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Map, Filter, and Reduce are paradigms of functional programming. What is functional programming? Functional programming, as the name suggests, computes through the evaluation of functions. They allow us to write simpler, shorter code with faster implementation methods. In functional programming, code relies entirely on […].

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Data is Risky Business: Return to Sender

TDAN

A recent experience brought home to me the critical importance of good quality data in even the simplest of processes, particularly as processes become more automated and data driven. Before I went on vacation last month, a new team member joined Castlebridge. Equipment for them was ordered to be shipped to the office, and I […].

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Data Loss: Hazards, Risks and Strategies for Prevention

Smart Data Collective

Many organizations and enterprises are constantly under threat of a cyber attack. Although data may be lost in a hacking incident, it can also be due to other intentional or accidental reasons. For example, you cannot rule out physical data theft, human error, computer viruses, faulty hardware, power failure, and natural disasters. One way to mitigate the loss of vital information is to have a sound backup system, which will improve the chances of recovering the data.

Risk 123
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Troubleshooting Issues and Getting Help With Dataiku

Dataiku

Dataiku revolutionizes how companies work with their data, enabling any user — from beginners with no programming knowledge to experienced data scientists with advanced knowledge and complex data flows — to make their work more transparent and efficient.

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Beginner’s Guide To Create PySpark DataFrame

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Spark is a cluster computing platform that allows us to distribute data and perform calculations on multiples nodes of a cluster. The distribution of data makes large dataset operations easier to process. Here each node is referred to as a separate machine working on […]. The post Beginner’s Guide To Create PySpark DataFrame appeared first on Analytics Vidhya.

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Groupon

Teradata

Groupon is modernizing with Vantage on AWS to better match its data & analytics with demands of its global business. The Cloud allows Groupon to better leverage infrastructure dollars, support more technology projects and capture opportunity.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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Gmail is Using Big Data to Integrate a new VoIP feature

Smart Data Collective

Big data has been a pivotal asset in modern businesses. Major tech companies like Google regularly use big data to offer higher quality services to their customers. Google is one of the companies that has always used big data to its full effectiveness. They have used big data in their Gmail services to offer better features to their customers. In the past, they used new forms of big data technology to offer more robust security.

Big Data 113
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What Makes Dataiku Different

Dataiku

Now, we know we would be nowhere without our 450+ customers around the globe who leverage Dataiku to systemize their use of data and AI, making it everyday behavior for everyone and powering collective success. But, today, our gratitude for our diverse customer base takes on a whole new level of meaning.

IT 98
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Cross-Sell Prediction Using Machine Learning in Python

Analytics Vidhya

Objective Understand what is Cross-sell using Vehicle insurance data. Learn how to build a model for cross-sell prediction. Introduction If you are a Machine learning enthusiast or a data science beginner, it’s important to have a guided journey and also exposure to a good set of projects.In this article, We will walk through a beginner […].

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Project Dashboard: Drive You To The Business Success

FineReport

As a project manager, you may often face questions such as “How is our project progressing? What will happen next?” Companies always pay attention to whether they can deliver products before the deadline. Project dashboard, also known as project management dashboard, helps show the current project progress like a car dashboard and provide feedback to the team.

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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Deciphering the Pros & Cons of Real-Time Data Streaming

Smart Data Collective

In a rapidly digitizing world, data is a crucial thing to both individuals and organizations. One of the recent developments in digital technology is streaming data in real-time. Data streaming is all about processing and analyzing data that keeps on flowing from a particular source to a destination in almost real-time. No matter the size and scale, a business can now reap irrefutable benefits because of the real-time data streaming option.

IoT 106
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Data’s Gender Gap: Keeping Ourselves in Check

TDAN

What is the work of data management and analysis for if we don’t properly gather, utilize, and listen to the information we say we’re seeking? While it is reasonable to believe in the burden of proof, endless data collection with no clear direction in mind to address related phenomena is a waste of everyone’s time. […].

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Four Data Engineering Fundamentals All Data Scientists Must Know

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Data Science is a team sport, we have members adding value across the analytics/data science lifecycle so that it can drive the transformation by solving challenging business problems. We have multiple team members in a data science team: data engineers who create the […].

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The Insights Beat: Time to Re-educate Your Organization On Data

Srividya Sridharan

(co-authored with Research Associate, Fayzan Sabri) End of summer and beginning of Fall is an exciting, yet tumultuous time for both parents and kids alike. Summer camps have ended, vacation time is over and children have returned to school. Employees and firms heave a heavy sigh to acclimatize to an evolving hybrid work life. As […].

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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Great Benefits of Leveraging Big Data in Investing

Smart Data Collective

What is value investing? It is when an investor gets stock at cheaper prices than the actual value of the stock. However, value investing is challenging for most people. Successful investors find suitable assets like post pandemic dividends and monitor their stocks. In addition, they make the right decisions to ensure their projects are successful. Understanding the characteristics, which define undervalued stocks, can help you maximize your profits.

Big Data 105
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Differences Between Data Lake and Data Warehouses

TDAN

Data lake is a newer IT term created for a new category of data store. But just what is a data lake? According to IBM, “a data lake is a storage repository that holds an enormous amount of raw or refined data in native format until it is accessed.” That makes sense. I think the […].

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AdaBoost Algorithm – A Complete Guide for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Boosting is an ensemble modelling technique that was first presented by Freund and Schapire in the year 1997, since then, Boosting has been a prevalent technique for tackling binary classification problems. These algorithms improve the prediction power by converting a number of weak […].

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Etihad Airways: Taking Off With Dataiku

Dataiku

The past couple of years have been anything but predictable and, as the transportation industry has been heavily impacted by the global health crisis, airlines have had to re-evaluate their business strategies.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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Protecting IP Addresses in an Age Governed by Data

Smart Data Collective

New developments in data technology have led to some major changes in digital technology. One of the biggest changes has been the need for greater data security. In order to appreciate the importance of implementing a data-driven digital security strategy, you must consider the weak points in your cybersecurity plan. This entails recognizing the need to protect your IP address as much as possible.

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Your Next Data Skill is Stakeholder Empathy

TDAN

The role of data people is often to interpret and communicate information. This can mean taking raw data and cleaning it, or using data to create a dashboard, or creating an algorithm to inform business decisions. In all these scenarios, we are being asked to take data and transform it into a different form for […].

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Apache Cassandra Data Model(CQL) – Schema and Database Design

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview When Apache Cassandra first came out, it included a command-line interface for dealing with thrift. Manipulation of data in this manner was inconvenient and caused knowing the API’s intricacies. Although the Cassandra query language is like SQL, its data modeling approaches are entirely […].

Modeling 331
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How to Prepare for ESG Reporting

Jet Global

Reporting on environmental, social and corporate governance (ESG) data is no longer the preserve of a minority of organizations. A rising tide of regulation, together with shareholder and employee pressure, means large organizations are now obliged to collect relevant information on a regular basis. The challenge is that many organizations have not formalized this data collection process, so need to use lengthy, error-prone manual methods to pull information together in time for their interim or

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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.